End-to-End AI Agent Pipelines: MCP and Google A2A in Action Struggling to stitch together AI agents with fragile scripts and ad hoc APIs? What if you could treat every capability as a well-defined tool call and every hand-off as a validated, schema-driven message? Summary “End-to-End AI Agent Pipelines: MCP and Google A2A in Action” shows you how to build reliable, production-grade agent ecosystems using the Model Context Protocol (MCP) for structured JSON-RPC tool invocations and Google’s Agent-to-Agent (A2A) protocol for seamless task exchanges over HTTP/2. Through concise explanations and hands-on examples, you’ll move from local experimentation to secure, observable, multi-stage pipelines ready for real-world workloads. What Sets This Book Apart? Each chapter delivers immediately actionable insights—no fluff, no fictional code. Learn: Foundations of MCP and Google A2A - Setting Up Your Development Environment - Building Your First MCP-Powered Agent - Implementing Secure Protocol Endpoints - Orchestrating Multi-Stage Workflows with A2A - Real-World Case Studies - Observability, Tracing and Metrics - Testing, CI/CD and Deployment - Scaling and Performance Optimization - Future Directions and Advanced Topics Inside, you’ll discover how to: Define and register custom tools with strict payload schemas - Secure endpoints with capability tokens, mTLS, and tamper-proof logs - Hand off context between agents and negotiate fallbacks - Build dashboards, alerts, and run load tests to guarantee SLAs - Containerize, automate deployments, and architect for high availability Ready to transform your AI integrations from brittle prototypes into resilient, scalable pipelines? Grab your copy of “End-to-End AI Agent Pipelines: MCP and Google A2A in Action” today and start building the next generation of intelligent agent workflows.